Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone
The development of speech-enabled mobile applications has greatly improved human-computer interaction in recent years. These applications are flexible and convenient for users. Since the speech signal is captured in mobile conditions, it may easily be contaminated by background noises, which may...
Saved in:
Main Author: | Md Jamal, Norezmi |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/8464/1/24p%20NOREZMI%20MD%20JAMAL.pdf http://eprints.uthm.edu.my/8464/2/NOREZMI%20MD%20JAMAL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8464/3/NOREZMI%20MD%20JAMAL%20WATERMARK.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Signal-to-Noise Ratio (SNR) estimation in additive Gaussian mixture noise channel
by: Lo, Ying Siew
Published: (2013) -
Crosstalk suppression techniques for multi-channel regeneration based on fiber optic parametic amplifier
by: Ibrahim, Nor Zaidatun Nadrah
Published: (2015) -
Dual band dipole antenna with harmonic suppression capability
by: Albishti, Abobaker A Mohammed
Published: (2015) -
Dual band monopole antenna with harmonic suppression capability
by: Mohamed Abdirahman, Abdiaziz
Published: (2018) -
Signal-To-Noise Ratio Estimations In Wireless Communications
by: Lenin, G
Published: (2005)